Background: Medication adherence is crucial for optimizing clinical outcomes in chronic obstructive pulmonary disease (COPD) patients because non-adherence possess significant burden in health and economy. Patients’ medication adherence is influenced by numerous factors.
Objective: The objective of this study was to identify the factors affecting medication adherence among COPD patients attending at teaching hospital, Chitwan.
Materials and Methods: A descriptive cross-sectional study was carried out among 121 clinically diagnosed COPD patients attending at a teaching hospital, Chitwan. Non-probability purposive sampling technique was used to select patients for the study. Ethical approval was taken from Chitwan Medical College – Institutional Review Committee and informed consent was obtained from patients. Pre-tested semi-structured interview schedule and a standardized tool “Morisky Medication Adherence Scale, 2008" were used to gather the data by the researcher from November 16, 2016, to December 15, 2016. Bivariate and multinomial logistic regression analyses were performed to analyze the data.
Results: Findings of the study revealed that out of 121 patients, 55.4% had medium level, 28.9% had a high level, and 15.7% had a low level of medication adherence. Bivariate analysis showed that patients’ level of medication adherence was significantly associated with an understanding of disease condition from family members (P = 0.03), support from neighbors as needed (P = 0.02), having own monthly income (P = 0.04), and affordability of medication cost (P = 0.02). Multinomial logistic regression analysis identified that patients who can afford the cost of medication (odds ratio [OR]: 6.39, 95% confidence interval [CI]: 1.27–32.11), had family understanding about disease condition (OR: 11.18; 95% CI: 1.76–70.66), get support from neighbor as needed (OR: 11.92; 95% CI: 2.39–59.34), and had accessible to health facilities at
Medication Adherence; Chronic Obstructive Pulmonary Disease Patients; Factors
Exploring the Alzheimer's disease neuroepigenome: recent advances and future trends.
Zhang H, Elefant F
Neural regeneration research. 2022; 17(2): 325-327
Growth differentiation factor 5: a neurotrophic factor with neuroprotective potential in Parkinson's disease.
Goulding SR, Anantha J, Collins LM, Sullivan AM, O'Keeffe GW
Neural regeneration research. 2022; 17(1): 38-44
Differentiating Human Pluripotent Stem Cells to Vascular Endothelial Cells for Regenerative Medicine, Tissue Engineering, and Disease Modeling.
Bertucci T, Kakarla S, Kim D, Dai G
Methods in molecular biology (Clifton, N.J.). 2022; 2375(): 1-12
Presenilin mutations and their impact on neuronal differentiation in Alzheimer's disease.
Hernandez-Sapiens MA, Reza-ZaldĂvar EE, MĂˇrquez-Aguirre AL, GĂłmez-Pinedo U, Matias-Guiu J, Cevallos RR, Mateos-DĂaz JC, SĂˇnchez-GonzĂˇlez VJ, Canales-Aguirre AA
Neural regeneration research. 2022; 17(1): 31-37
Dendritic spine density changes and homeostatic synaptic scaling: a meta-analysis of animal studies.
Moulin TC, RayĂŞe D, SchiĂ¶th HB
Neural regeneration research. 2022; 17(1): 20-24